Digital Measures Catalogue

All measures start with the reliable collection of sensor data and the delivery of those data into our infrastructure.

This sensor data includes movement, acceleration, light, temperature, smartphone interactions and many more. There are many approaches available to process these signals.

For example, when moving, the output of an accelerometer can be combined to understand the energy or intensity associated with the movement. When still, information about posture is also available due to the constant reference of earth’s gravity.

Defining Measures

The sensor-level (raw) data output of the GENEActiv allows these event measures to be defined and calculated offline, after data collection. While the Activinsights Band uses on-board algorithms to detect and characterise sensor data in real-time, transmitting wirelessly to a secure global data infrastructure.

The event measures from either of our wearables and other connected devices can then be built up into daily summary measures and longer-term measures. This hierarchy of measures forms the basis of the Activinsights Digital Measures Catalogue with the measurements from remotely deployed, digital sensors as the foundation.

Each measure, within every layer of the hierarchy is independently verified and validated in our data infrastructure and referenced to peer-reviewed publications.

We recommend digital health measures according to your research objectives in different therapeutic areas.

Contact us to find out more about the 150+ health and clinical measures that we regularly use from our Digital Measures Catalogue, including biomarker development and exploratory endpoints.

Download our Digital Measures One-Pager

Example measures include:

Most active 6 minutes

Step cadence

Sleep quality

Active time trend

Arm elevation

Wrist rotation

Analysing Signals

Analysis of signals in the frequency domain provides information about repeated movements. This could include scratching, tremor and environmental interactions. Repetitive or pre-defined movement patterns can also be detected.

In the first stage of analysis, periods of time where the signal is consistent (homogenous) are defined as an ‘event’, typically measured in seconds or minutes. The properties of the signal are used to characterise and then classify the event, for example, a 90 second walking bout at an average cadence of 74 steps per minute with a total of 111 steps.

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Apps & Software

Our apps and software have been designed to enable healthcare professionals to configure devices and collect data remotely in the most efficient way possible. This gives complete control to the study to share data as required by the study protocol or project needs.

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Algorithm Development

Activinsights’ commitment to open data formats and algorithms has provided a platform for hundreds of algorithm developers to create new techniques and measures from raw data to verify and validate new digital health measures.

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How can we help you?

Our friendly team have extensive experience in remote monitoring technology and can advise you on what products and services will best suit your project needs.

Contact us to discuss your requirements.

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